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We use a design workbook of speculative scenarios as a values elicitation activity with 14 participants. The workbook depicts use case scenarios with smart home camera technologies that involve surveillance and uneven power relations. The scenarios were initially designed by the researchers to explore scenarios of privacy and surveillance within three social relationships involving “primary” and “non-primary” users: Parents-Children, Landlords-Tenants, and Residents-Domestic Workers. When the scenarios were utilized as part of a values elicitation activity with participants, we found that they reflected on a broader set of interconnected social values beyond privacy and surveillance, including autonomy and agency, physical safety, property rights, trust and accountability, and fairness. The paper suggests that future research about ethical issues in smart homes should conceptualize privacy as interconnected with a broader set of social values (which can align or be in tension with privacy), and reflects on considerations for doing research with non-primary users. 

Despite the central role that stories play in social movement-building, they are difficult to sustainably document for many reasons. To explore this challenge, this paper describes the design of a community-based conversational storytelling agent (CSA) to document digital stories of housing insecurity. Building on insights from an ongoing grassroots project, the Anti-Eviction Mapping Project, we share how a study initially focused on CSA-support opened an investigation of the role that artificial intelligence may play in housing justice movements. Drawing from 17 interviews with narrators of housing insecurity experiences and collectors of such stories, we find that collectors perceive opportunities to expand means of documentation with multimedia and multi-language support. Meanwhile, some narrators perceive potential for a CSA to offer therapeutic storytelling experiences and document otherwise unrecorded stories. Yet, CSA encounters also surface perils of machine bias, as well as reduced possibilities of human connections and relations. 

Artificial intelligence (AI) technologies are widely deployed in smartphone photography; and prompt-based image synthesis models have rapidly become commonplace. In this paper, we describe a Research-through-Design (RtD) project which explores this shift in the means and modes of image production via the creation and use of the Entoptic Field Camera. Entoptic phenomena usually refer to perceptions of floaters or bright blue dots stemming from the physiological interplay of the eye and brain. We use the term entoptic as a metaphor to investigate how the material interplay of data and models in AI technologies shapes human experiences of reality. Through our case study using first-person design and a field study, we offer implications for critical, reflective, more-than-human and ludic design to engage AI technologies; the conceptualisation of an RtD research space which contributes to AI literacy discourses; and outline a research trajectory concerning materiality and design affordances of AI technologies. 

This one-day workshop will bring together a diverse group of practitioners and researchers within the CHI community to discuss and explore data's increasing use as a material for design. This workshop encourages the submission of design exemplars, i.e., physical or digital works (in progress), design processes, or provocative or controversial pieces on the topic of data as a design material. If we are to continue to explore what data means as a design material and how we will continue to co-exist with them in our everyday lives through new and exciting ways and means, we must develop new strategies, tactics, tools, and outcomes. By bringing together products, processes, and provocations, this workshop will nurture and extend the continuation of research inquiring into data as a design material in its many forms. Our workshop will be conducted through physical and digital activities before, during, and after the onsite event at CHI 2023. 

Many consumer Internet Things (IoT) devices involve spatial sensors such as cameras and microphones. These affect the privacy of nearby people. A prime example is smart home security cameras. We present our work developing scenarios, use cases, and design proposals for addressing smart camera privacy. Preliminary findings from a concept evaluation with 11 participants is presented. The outcomes of this research through design project foreground the importance and challenges of designing to support the privacy of nearby users. We outline actionable design responses while also raising limitations of technology approaches alone to address these issues.